YData Profiling Report

Dataset statistics

Number of variables	16
Number of observations	6050
Missing cells	1610
Missing cells (%)	1.7%
Duplicate rows	50
Duplicate rows (%)	0.8%
Total size in memory	756.4 KiB
Average record size in memory	128.0 B

Variable types

Numeric	10
Categorical	6

Alerts

Dataset has 50 (0.8%) duplicate rows	Duplicates
`salary` has 403 (6.7%) missing values	Missing
`experience_years` has 403 (6.7%) missing values	Missing
`city` has 404 (6.7%) missing values	Missing
`score` has 400 (6.6%) missing values	Missing
`experience_years` has 137 (2.3%) zeros	Zeros
`last_promotion_years` has 386 (6.4%) zeros	Zeros
`projects_completed` has 117 (1.9%) zeros	Zeros
`overtime_hours` has 182 (3.0%) zeros	Zeros
`leaves_taken` has 148 (2.4%) zeros	Zeros

Reproduction

Analysis started	2026-02-06 04:59:23.825751
Analysis finished	2026-02-06 04:59:40.697470
Duration	16.87 seconds
Software version	ydata-profiling vv4.18.1
Download configuration	config.json

age
Real number (ℝ)

Distinct	52
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.678678

Minimum	18
Maximum	69
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.4 KiB

Quantile statistics

Minimum	18
5-th percentile	20
Q1	31
median	44
Q3	56
95-th percentile	67
Maximum	69
Range	51
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	14.913767
Coefficient of variation (CV)	0.34144274
Kurtosis	-1.1783138
Mean	43.678678
Median Absolute Deviation (MAD)	13
Skewness	-0.014911139
Sum	264256
Variance	222.42046
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
66	144	2.4%
64	138	2.3%
45	134	2.2%
38	133	2.2%
25	133	2.2%
49	132	2.2%
34	131	2.2%
52	130	2.1%
62	129	2.1%
54	128	2.1%
Other values (42)	4718	78.0%

Value	Count	Frequency (%)
18	111	1.8%
19	115	1.9%
20	118	2.0%
21	120	2.0%
22	108	1.8%
23	110	1.8%
24	87	1.4%
25	133	2.2%
26	110	1.8%
27	106	1.8%

Value	Count	Frequency (%)
69	107	1.8%
68	124	2.0%
67	106	1.8%
66	144	2.4%
65	100	1.7%
64	138	2.3%
63	105	1.7%
62	129	2.1%
61	115	1.9%
60	96	1.6%

salary
Real number (ℝ)

Missing

Distinct	5489
Distinct (%)	97.2%
Missing	403
Missing (%)	6.7%
Infinite	0
Infinite (%)	0.0%
Mean	84718.989

Minimum	20028
Maximum	149999
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.4 KiB

Quantile statistics

Minimum	20028
5-th percentile	25624.1
Q1	51219
median	85552
Q3	118259
95-th percentile	143136.8
Maximum	149999
Range	129971
Interquartile range (IQR)	67040

Descriptive statistics

Standard deviation	37851.683
Coefficient of variation (CV)	0.44679101
Kurtosis	-1.2372272
Mean	84718.989
Median Absolute Deviation (MAD)	33535
Skewness	-0.017210803
Sum	4.7840813 × 10⁸
Variance	1.4327499 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
70248	3	< 0.1%
122828	3	< 0.1%
63919	2	< 0.1%
102103	2	< 0.1%
142443	2	< 0.1%
23358	2	< 0.1%
127894	2	< 0.1%
141485	2	< 0.1%
143416	2	< 0.1%
125982	2	< 0.1%
Other values (5479)	5625	93.0%
(Missing)	403	6.7%

Value	Count	Frequency (%)
20028	1	< 0.1%
20066	1	< 0.1%
20074	1	< 0.1%
20132	1	< 0.1%
20153	1	< 0.1%
20178	1	< 0.1%
20215	1	< 0.1%
20228	1	< 0.1%
20229	1	< 0.1%
20287	1	< 0.1%

Value	Count	Frequency (%)
149999	1	< 0.1%
149949	1	< 0.1%
149900	1	< 0.1%
149863	1	< 0.1%
149856	1	< 0.1%
149753	1	< 0.1%
149716	1	< 0.1%
149688	1	< 0.1%
149648	1	< 0.1%
149642	1	< 0.1%

experience_years
Real number (ℝ)

Missing Zeros

Distinct	40
Distinct (%)	0.7%
Missing	403
Missing (%)	6.7%
Infinite	0
Infinite (%)	0.0%
Mean	19.418806

Minimum	0
Maximum	39
Zeros	137
Zeros (%)	2.3%
Negative	0
Negative (%)	0.0%
Memory size	47.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	10
median	19
Q3	29
95-th percentile	37
Maximum	39
Range	39
Interquartile range (IQR)	19

Descriptive statistics

Standard deviation	11.36937
Coefficient of variation (CV)	0.58548244
Kurtosis	-1.1532562
Mean	19.418806
Median Absolute Deviation (MAD)	10
Skewness	0.015011255
Sum	109658
Variance	129.26258
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
15	169	2.8%
12	165	2.7%
14	160	2.6%
18	159	2.6%
16	157	2.6%
25	156	2.6%
21	152	2.5%
13	152	2.5%
9	149	2.5%
22	149	2.5%
Other values (30)	4079	67.4%
(Missing)	403	6.7%

Value	Count	Frequency (%)
0	137	2.3%
1	140	2.3%
2	140	2.3%
3	139	2.3%
4	126	2.1%
5	129	2.1%
6	135	2.2%
7	143	2.4%
8	144	2.4%
9	149	2.5%

Value	Count	Frequency (%)
39	127	2.1%
38	144	2.4%
37	138	2.3%
36	145	2.4%
35	138	2.3%
34	121	2.0%
33	124	2.0%
32	141	2.3%
31	131	2.2%
30	148	2.4%

education_level
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.4 KiB

Master	1544
Bachelor	1525
High School	1512
PhD	1469

Length

Max length	11
Median length	8
Mean length	7.0252893
Min length	3

Characters and Unicode

Total characters	42503
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	High School
2nd row	High School
3rd row	PhD
4th row	Bachelor
5th row	PhD

Common Values

Value	Count	Frequency (%)
Master	1544	25.5%
Bachelor	1525	25.2%
High School	1512	25.0%
PhD	1469	24.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
master	1544	20.4%
bachelor	1525	20.2%
high	1512	20.0%
school	1512	20.0%
phd	1469	19.4%

Most occurring characters

Value	Count	Frequency (%)
h	6018	14.2%
o	4549	10.7%
e	3069	7.2%
a	3069	7.2%
r	3069	7.2%
l	3037	7.1%
c	3037	7.1%
M	1544	3.6%
s	1544	3.6%
t	1544	3.6%
Other values (8)	12023	28.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	42503	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
h	6018	14.2%
o	4549	10.7%
e	3069	7.2%
a	3069	7.2%
r	3069	7.2%
l	3037	7.1%
c	3037	7.1%
M	1544	3.6%
s	1544	3.6%
t	1544	3.6%
Other values (8)	12023	28.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	42503	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
h	6018	14.2%
o	4549	10.7%
e	3069	7.2%
a	3069	7.2%
r	3069	7.2%
l	3037	7.1%
c	3037	7.1%
M	1544	3.6%
s	1544	3.6%
t	1544	3.6%
Other values (8)	12023	28.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	42503	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
h	6018	14.2%
o	4549	10.7%
e	3069	7.2%
a	3069	7.2%
r	3069	7.2%
l	3037	7.1%
c	3037	7.1%
M	1544	3.6%
s	1544	3.6%
t	1544	3.6%
Other values (8)	12023	28.3%

department
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.4 KiB

Finance	1256
Sales	1222
HR	1214
Marketing	1191
IT	1167

Length

Max length	9
Median length	7
Mean length	5.0219835
Min length	2

Characters and Unicode

Total characters	30383
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sales
2nd row	Marketing
3rd row	HR
4th row	Finance
5th row	Sales

Common Values

Value	Count	Frequency (%)
Finance	1256	20.8%
Sales	1222	20.2%
HR	1214	20.1%
Marketing	1191	19.7%
IT	1167	19.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
finance	1256	20.8%
sales	1222	20.2%
hr	1214	20.1%
marketing	1191	19.7%
it	1167	19.3%

Most occurring characters

Value	Count	Frequency (%)
n	3703	12.2%
a	3669	12.1%
e	3669	12.1%
i	2447	8.1%
F	1256	4.1%
c	1256	4.1%
S	1222	4.0%
l	1222	4.0%
s	1222	4.0%
H	1214	4.0%
Other values (8)	9503	31.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	30383	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	3703	12.2%
a	3669	12.1%
e	3669	12.1%
i	2447	8.1%
F	1256	4.1%
c	1256	4.1%
S	1222	4.0%
l	1222	4.0%
s	1222	4.0%
H	1214	4.0%
Other values (8)	9503	31.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	30383	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	3703	12.2%
a	3669	12.1%
e	3669	12.1%
i	2447	8.1%
F	1256	4.1%
c	1256	4.1%
S	1222	4.0%
l	1222	4.0%
s	1222	4.0%
H	1214	4.0%
Other values (8)	9503	31.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	30383	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	3703	12.2%
a	3669	12.1%
e	3669	12.1%
i	2447	8.1%
F	1256	4.1%
c	1256	4.1%
S	1222	4.0%
l	1222	4.0%
s	1222	4.0%
H	1214	4.0%
Other values (8)	9503	31.3%

city
Categorical

Missing

Distinct	5
Distinct (%)	0.1%
Missing	404
Missing (%)	6.7%
Memory size	47.4 KiB

Hyderabad	1217
Bangalore	1142
Delhi	1120
Mumbai	1092
Pune	1075

Length

Max length	9
Median length	6
Mean length	6.6742827
Min length	4

Characters and Unicode

Total characters	37683
Distinct characters	19
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Bangalore
2nd row	Delhi
3rd row	Bangalore
4th row	Delhi
5th row	Bangalore

Common Values

Value	Count	Frequency (%)
Hyderabad	1217	20.1%
Bangalore	1142	18.9%
Delhi	1120	18.5%
Mumbai	1092	18.0%
Pune	1075	17.8%
(Missing)	404	6.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
hyderabad	1217	21.6%
bangalore	1142	20.2%
delhi	1120	19.8%
mumbai	1092	19.3%
pune	1075	19.0%

Most occurring characters

Value	Count	Frequency (%)
a	5810	15.4%
e	4554	12.1%
d	2434	6.5%
r	2359	6.3%
b	2309	6.1%
l	2262	6.0%
n	2217	5.9%
i	2212	5.9%
u	2167	5.8%
y	1217	3.2%
Other values (9)	10142	26.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	37683	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	5810	15.4%
e	4554	12.1%
d	2434	6.5%
r	2359	6.3%
b	2309	6.1%
l	2262	6.0%
n	2217	5.9%
i	2212	5.9%
u	2167	5.8%
y	1217	3.2%
Other values (9)	10142	26.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	37683	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	5810	15.4%
e	4554	12.1%
d	2434	6.5%
r	2359	6.3%
b	2309	6.1%
l	2262	6.0%
n	2217	5.9%
i	2212	5.9%
u	2167	5.8%
y	1217	3.2%
Other values (9)	10142	26.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	37683	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	5810	15.4%
e	4554	12.1%
d	2434	6.5%
r	2359	6.3%
b	2309	6.1%
l	2262	6.0%
n	2217	5.9%
i	2212	5.9%
u	2167	5.8%
y	1217	3.2%
Other values (9)	10142	26.9%

gender
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.4 KiB

Other	2050
Female	2025
Male	1975

Length

Max length	6
Median length	5
Mean length	5.0082645
Min length	4

Characters and Unicode

Total characters	30300
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Other
2nd row	Other
3rd row	Male
4th row	Other
5th row	Female

Common Values

Value	Count	Frequency (%)
Other	2050	33.9%
Female	2025	33.5%
Male	1975	32.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
other	2050	33.9%
female	2025	33.5%
male	1975	32.6%

Most occurring characters

Value	Count	Frequency (%)
e	8075	26.7%
a	4000	13.2%
l	4000	13.2%
O	2050	6.8%
t	2050	6.8%
h	2050	6.8%
r	2050	6.8%
F	2025	6.7%
m	2025	6.7%
M	1975	6.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	30300	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	8075	26.7%
a	4000	13.2%
l	4000	13.2%
O	2050	6.8%
t	2050	6.8%
h	2050	6.8%
r	2050	6.8%
F	2025	6.7%
m	2025	6.7%
M	1975	6.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	30300	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	8075	26.7%
a	4000	13.2%
l	4000	13.2%
O	2050	6.8%
t	2050	6.8%
h	2050	6.8%
r	2050	6.8%
F	2025	6.7%
m	2025	6.7%
M	1975	6.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	30300	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	8075	26.7%
a	4000	13.2%
l	4000	13.2%
O	2050	6.8%
t	2050	6.8%
h	2050	6.8%
r	2050	6.8%
F	2025	6.7%
m	2025	6.7%
M	1975	6.5%

score
Real number (ℝ)

Missing

Distinct	5600
Distinct (%)	99.1%
Missing	400
Missing (%)	6.6%
Infinite	0
Infinite (%)	0.0%
Mean	49.748432

Minimum	0.010237253
Maximum	99.997387
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.4 KiB

Quantile statistics

Minimum	0.010237253
5-th percentile	4.8790672
Q1	25.298396
median	49.884004
Q3	74.367371
95-th percentile	94.761054
Maximum	99.997387
Range	99.98715
Interquartile range (IQR)	49.068976

Descriptive statistics

Standard deviation	28.778787
Coefficient of variation (CV)	0.5784863
Kurtosis	-1.1882461
Mean	49.748432
Median Absolute Deviation (MAD)	24.530472
Skewness	0.0019551551
Sum	281078.64
Variance	828.21857
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
8.908017135	2	< 0.1%
11.3476402	2	< 0.1%
90.41108126	2	< 0.1%
44.61795848	2	< 0.1%
68.8739654	2	< 0.1%
13.89144232	2	< 0.1%
2.194748239	2	< 0.1%
29.03909215	2	< 0.1%
57.45456395	2	< 0.1%
1.998775557	2	< 0.1%
Other values (5590)	5630	93.1%
(Missing)	400	6.6%

Value	Count	Frequency (%)
0.01023725258	1	< 0.1%
0.01457676073	1	< 0.1%
0.01654965011	1	< 0.1%
0.02480237085	1	< 0.1%
0.0390855847	1	< 0.1%
0.04821404785	1	< 0.1%
0.09238757834	1	< 0.1%
0.1152340795	1	< 0.1%
0.1168146424	1	< 0.1%
0.1557234826	1	< 0.1%

Value	Count	Frequency (%)
99.99738676	1	< 0.1%
99.9812388	1	< 0.1%
99.98084812	1	< 0.1%
99.95913967	1	< 0.1%
99.94961124	1	< 0.1%
99.93958799	1	< 0.1%
99.91769305	1	< 0.1%
99.91754125	1	< 0.1%
99.91623003	1	< 0.1%
99.91268892	1	< 0.1%

last_promotion_years
Real number (ℝ)

Zeros

Distinct	15
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.9342149

Minimum	0
Maximum	14
Zeros	386
Zeros (%)	6.4%
Negative	0
Negative (%)	0.0%
Memory size	47.4 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	7
Q3	11
95-th percentile	14
Maximum	14
Range	14
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	4.2800737
Coefficient of variation (CV)	0.61723984
Kurtosis	-1.1882968
Mean	6.9342149
Median Absolute Deviation (MAD)	4
Skewness	0.030154497
Sum	41952
Variance	18.319031
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
9	447	7.4%
3	434	7.2%
5	418	6.9%
7	418	6.9%
4	417	6.9%
6	409	6.8%
10	405	6.7%
1	404	6.7%
14	404	6.7%
2	402	6.6%
Other values (5)	1892	31.3%

Value	Count	Frequency (%)
0	386	6.4%
1	404	6.7%
2	402	6.6%
3	434	7.2%
4	417	6.9%
5	418	6.9%
6	409	6.8%
7	418	6.9%
8	368	6.1%
9	447	7.4%

Value	Count	Frequency (%)
14	404	6.7%
13	365	6.0%
12	383	6.3%
11	390	6.4%
10	405	6.7%
9	447	7.4%
8	368	6.1%
7	418	6.9%
6	409	6.8%
5	418	6.9%

joining_year
Real number (ℝ)

Distinct	25
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2012.1666

Minimum	2000
Maximum	2024
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.4 KiB

Quantile statistics

Minimum	2000
5-th percentile	2001
Q1	2006
median	2012
Q3	2018
95-th percentile	2023
Maximum	2024
Range	24
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	7.2477821
Coefficient of variation (CV)	0.0036019791
Kurtosis	-1.2195267
Mean	2012.1666
Median Absolute Deviation (MAD)	6
Skewness	-0.014045943
Sum	12173608
Variance	52.530345
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
2022	286	4.7%
2024	261	4.3%
2018	260	4.3%
2016	258	4.3%
2023	250	4.1%
2012	248	4.1%
2009	246	4.1%
2005	245	4.0%
2007	244	4.0%
2021	242	4.0%
Other values (15)	3510	58.0%

Value	Count	Frequency (%)
2000	220	3.6%
2001	240	4.0%
2002	240	4.0%
2003	237	3.9%
2004	242	4.0%
2005	245	4.0%
2006	240	4.0%
2007	244	4.0%
2008	238	3.9%
2009	246	4.1%

Value	Count	Frequency (%)
2024	261	4.3%
2023	250	4.1%
2022	286	4.7%
2021	242	4.0%
2020	229	3.8%
2019	233	3.9%
2018	260	4.3%
2017	232	3.8%
2016	258	4.3%
2015	221	3.7%

projects_completed
Real number (ℝ)

Zeros

Distinct	50
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	24.257686

Minimum	0
Maximum	49
Zeros	117
Zeros (%)	1.9%
Negative	0
Negative (%)	0.0%
Memory size	47.4 KiB

Quantile statistics

Minimum	0
5-th percentile	2
Q1	12
median	24
Q3	37
95-th percentile	47
Maximum	49
Range	49
Interquartile range (IQR)	25

Descriptive statistics

Standard deviation	14.44885
Coefficient of variation (CV)	0.59564007
Kurtosis	-1.198318
Mean	24.257686
Median Absolute Deviation (MAD)	13
Skewness	0.01267122
Sum	146759
Variance	208.76926
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	150	2.5%
39	147	2.4%
21	142	2.3%
48	141	2.3%
4	137	2.3%
27	137	2.3%
8	133	2.2%
10	132	2.2%
38	131	2.2%
15	130	2.1%
Other values (40)	4670	77.2%

Value	Count	Frequency (%)
0	117	1.9%
1	150	2.5%
2	126	2.1%
3	122	2.0%
4	137	2.3%
5	117	1.9%
6	116	1.9%
7	92	1.5%
8	133	2.2%
9	128	2.1%

Value	Count	Frequency (%)
49	103	1.7%
48	141	2.3%
47	117	1.9%
46	102	1.7%
45	117	1.9%
44	125	2.1%
43	127	2.1%
42	110	1.8%
41	113	1.9%
40	107	1.8%

overtime_hours
Real number (ℝ)

Zeros

Distinct	30
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.542479

Minimum	0
Maximum	29
Zeros	182
Zeros (%)	3.0%
Negative	0
Negative (%)	0.0%
Memory size	47.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	7
median	15
Q3	22
95-th percentile	28
Maximum	29
Range	29
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.6629698
Coefficient of variation (CV)	0.59570102
Kurtosis	-1.2217517
Mean	14.542479
Median Absolute Deviation (MAD)	8
Skewness	-0.0079298502
Sum	87982
Variance	75.047046
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
22	222	3.7%
12	220	3.6%
8	219	3.6%
24	218	3.6%
27	216	3.6%
5	216	3.6%
4	215	3.6%
21	214	3.5%
23	213	3.5%
1	209	3.5%
Other values (20)	3888	64.3%

Value	Count	Frequency (%)
0	182	3.0%
1	209	3.5%
2	202	3.3%
3	204	3.4%
4	215	3.6%
5	216	3.6%
6	183	3.0%
7	195	3.2%
8	219	3.6%
9	192	3.2%

Value	Count	Frequency (%)
29	204	3.4%
28	185	3.1%
27	216	3.6%
26	193	3.2%
25	194	3.2%
24	218	3.6%
23	213	3.5%
22	222	3.7%
21	214	3.5%
20	208	3.4%

leaves_taken
Real number (ℝ)

Zeros

Distinct	40
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19.633388

Minimum	0
Maximum	39
Zeros	148
Zeros (%)	2.4%
Negative	0
Negative (%)	0.0%
Memory size	47.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	10
median	20
Q3	30
95-th percentile	37
Maximum	39
Range	39
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	11.490167
Coefficient of variation (CV)	0.58523609
Kurtosis	-1.1857117
Mean	19.633388
Median Absolute Deviation (MAD)	10
Skewness	-0.024018954
Sum	118782
Variance	132.02395
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
35	174	2.9%
16	174	2.9%
34	168	2.8%
17	168	2.8%
20	167	2.8%
15	165	2.7%
1	164	2.7%
24	163	2.7%
19	159	2.6%
31	159	2.6%
Other values (30)	4389	72.5%

Value	Count	Frequency (%)
0	148	2.4%
1	164	2.7%
2	142	2.3%
3	154	2.5%
4	149	2.5%
5	136	2.2%
6	149	2.5%
7	133	2.2%
8	141	2.3%
9	154	2.5%

Value	Count	Frequency (%)
39	137	2.3%
38	148	2.4%
37	150	2.5%
36	149	2.5%
35	174	2.9%
34	168	2.8%
33	144	2.4%
32	159	2.6%
31	159	2.6%
30	146	2.4%

performance_rating
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.4 KiB

4	1232
1	1221
2	1220
5	1202
3	1175

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	6050
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	4
4th row	4
5th row	4

Common Values

Value	Count	Frequency (%)
4	1232	20.4%
1	1221	20.2%
2	1220	20.2%
5	1202	19.9%
3	1175	19.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
4	1232	20.4%
1	1221	20.2%
2	1220	20.2%
5	1202	19.9%
3	1175	19.4%

Most occurring characters

Value	Count	Frequency (%)
4	1232	20.4%
1	1221	20.2%
2	1220	20.2%
5	1202	19.9%
3	1175	19.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6050	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
4	1232	20.4%
1	1221	20.2%
2	1220	20.2%
5	1202	19.9%
3	1175	19.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6050	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
4	1232	20.4%
1	1221	20.2%
2	1220	20.2%
5	1202	19.9%
3	1175	19.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6050	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
4	1232	20.4%
1	1221	20.2%
2	1220	20.2%
5	1202	19.9%
3	1175	19.4%

work_life_balance
Real number (ℝ)

Distinct	6000
Distinct (%)	99.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.0069992

Minimum	1.0001902
Maximum	4.9995802
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	47.4 KiB

Quantile statistics

Minimum	1.0001902
5-th percentile	1.2137725
Q1	2.0135981
median	2.9917309
Q3	4.0213522
95-th percentile	4.8113226
Maximum	4.9995802
Range	3.99939
Interquartile range (IQR)	2.0077541

Descriptive statistics

Standard deviation	1.1583247
Coefficient of variation (CV)	0.38520952
Kurtosis	-1.2204791
Mean	3.0069992
Median Absolute Deviation (MAD)	1.0034281
Skewness	0.0040208619
Sum	18192.345
Variance	1.3417162
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.683949075	2	< 0.1%
4.953060759	2	< 0.1%
1.849068507	2	< 0.1%
2.392557004	2	< 0.1%
2.918867469	2	< 0.1%
1.697986933	2	< 0.1%
4.212181276	2	< 0.1%
2.504044202	2	< 0.1%
4.586349109	2	< 0.1%
3.698626572	2	< 0.1%
Other values (5990)	6030	99.7%

Value	Count	Frequency (%)
1.000190156	1	< 0.1%
1.001079061	1	< 0.1%
1.001955872	1	< 0.1%
1.002669657	1	< 0.1%
1.00422037	1	< 0.1%
1.004472927	1	< 0.1%
1.006069288	1	< 0.1%
1.006241818	1	< 0.1%
1.006573941	1	< 0.1%
1.006798888	1	< 0.1%

Value	Count	Frequency (%)
4.999580165	1	< 0.1%
4.998726139	1	< 0.1%
4.997894524	2	< 0.1%
4.995516316	1	< 0.1%
4.995344206	1	< 0.1%
4.995186824	1	< 0.1%
4.994263677	1	< 0.1%
4.994089603	1	< 0.1%
4.993869234	1	< 0.1%
4.993666909	1	< 0.1%

travel_frequency
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.4 KiB

Rarely	2082
Very Often	1987
Often	1981

Length

Max length	10
Median length	6
Mean length	6.986281
Min length	5

Characters and Unicode

Total characters	42267
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Very Often
2nd row	Often
3rd row	Rarely
4th row	Rarely
5th row	Rarely

Common Values

Value	Count	Frequency (%)
Rarely	2082	34.4%
Very Often	1987	32.8%
Often	1981	32.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
often	3968	49.4%
rarely	2082	25.9%
very	1987	24.7%

Most occurring characters

Value	Count	Frequency (%)
e	8037	19.0%
r	4069	9.6%
y	4069	9.6%
t	3968	9.4%
n	3968	9.4%
O	3968	9.4%
f	3968	9.4%
a	2082	4.9%
R	2082	4.9%
l	2082	4.9%
Other values (2)	3974	9.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	42267	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	8037	19.0%
r	4069	9.6%
y	4069	9.6%
t	3968	9.4%
n	3968	9.4%
O	3968	9.4%
f	3968	9.4%
a	2082	4.9%
R	2082	4.9%
l	2082	4.9%
Other values (2)	3974	9.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	42267	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	8037	19.0%
r	4069	9.6%
y	4069	9.6%
t	3968	9.4%
n	3968	9.4%
O	3968	9.4%
f	3968	9.4%
a	2082	4.9%
R	2082	4.9%
l	2082	4.9%
Other values (2)	3974	9.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	42267	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	8037	19.0%
r	4069	9.6%
y	4069	9.6%
t	3968	9.4%
n	3968	9.4%
O	3968	9.4%
f	3968	9.4%
a	2082	4.9%
R	2082	4.9%
l	2082	4.9%
Other values (2)	3974	9.4%

	leaves_taken	age	city	department	education_level	experience_years	gender	joining_year	last_promotion_years	overtime_hours	performance_rating	projects_completed	salary	score	travel_frequency	work_life_balance
leaves_taken	1.000	0.017	0.026	0.013	0.000	-0.001	0.014	0.017	0.018	0.014	0.001	0.016	-0.018	-0.013	0.000	-0.030
age	0.017	1.000	0.013	0.024	0.008	0.021	0.000	-0.011	-0.002	0.008	0.018	-0.011	0.014	-0.012	0.027	-0.015
city	0.026	0.013	1.000	0.018	0.000	0.000	0.016	0.000	0.002	0.015	0.015	0.010	0.000	0.030	0.000	0.005
department	0.013	0.024	0.018	1.000	0.015	0.000	0.021	0.019	0.000	0.000	0.009	0.010	0.004	0.015	0.005	0.013
education_level	0.000	0.008	0.000	0.015	1.000	0.013	0.000	0.013	0.000	0.000	0.020	0.005	0.000	0.028	0.016	0.005
experience_years	-0.001	0.021	0.000	0.000	0.013	1.000	0.000	-0.008	0.009	-0.021	0.000	0.024	0.009	0.011	0.000	0.013
gender	0.014	0.000	0.016	0.021	0.000	0.000	1.000	0.006	0.021	0.019	0.018	0.000	0.010	0.008	0.000	0.015
joining_year	0.017	-0.011	0.000	0.019	0.013	-0.008	0.006	1.000	0.006	-0.006	0.015	0.038	0.032	-0.015	0.000	0.020
last_promotion_years	0.018	-0.002	0.002	0.000	0.000	0.009	0.021	0.006	1.000	0.003	0.017	-0.020	0.000	-0.020	0.009	-0.002
overtime_hours	0.014	0.008	0.015	0.000	0.000	-0.021	0.019	-0.006	0.003	1.000	0.000	0.006	0.007	-0.003	0.000	-0.009
performance_rating	0.001	0.018	0.015	0.009	0.020	0.000	0.018	0.015	0.017	0.000	1.000	0.016	0.007	0.011	0.008	0.009
projects_completed	0.016	-0.011	0.010	0.010	0.005	0.024	0.000	0.038	-0.020	0.006	0.016	1.000	0.030	0.046	0.000	0.011
salary	-0.018	0.014	0.000	0.004	0.000	0.009	0.010	0.032	0.000	0.007	0.007	0.030	1.000	-0.013	0.000	0.013
score	-0.013	-0.012	0.030	0.015	0.028	0.011	0.008	-0.015	-0.020	-0.003	0.011	0.046	-0.013	1.000	0.018	0.003
travel_frequency	0.000	0.027	0.000	0.005	0.016	0.000	0.000	0.000	0.009	0.000	0.008	0.000	0.000	0.018	1.000	0.000
work_life_balance	-0.030	-0.015	0.005	0.013	0.005	0.013	0.015	0.020	-0.002	-0.009	0.009	0.011	0.013	0.003	0.000	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	age	salary	experience_years	education_level	department	city	gender	score	last_promotion_years	joining_year	projects_completed	overtime_hours	leaves_taken	performance_rating	work_life_balance	travel_frequency
0	56	63919.0	24.0	High School	Sales	Bangalore	Other	41.285937	14	2022	23	22	19	4	1.849069	Very Often
1	69	102103.0	26.0	High School	Marketing	Delhi	Other	8.908017	11	2001	19	12	37	4	2.392557	Often
2	46	142443.0	5.0	PhD	HR	Bangalore	Male	11.347640	5	2012	36	21	35	4	2.918867	Rarely
3	32	23358.0	33.0	Bachelor	Finance	Delhi	Other	90.411081	11	2021	30	9	11	4	1.697987	Rarely
4	60	NaN	8.0	PhD	Sales	Bangalore	Female	44.617958	9	2005	46	17	4	4	4.212181	Rarely
5	25	127894.0	32.0	Master	Sales	Mumbai	Male	68.873965	4	2008	16	1	4	3	2.504044	Often
6	38	141485.0	5.0	High School	Sales	Delhi	Female	13.891442	14	2013	48	21	16	4	4.586349	Very Often
7	56	NaN	36.0	Master	Finance	Delhi	Other	2.194748	6	2023	23	11	37	4	3.698627	Rarely
8	36	143416.0	30.0	High School	HR	Bangalore	Male	89.048396	10	2020	17	12	9	5	1.706424	Very Often
9	40	125982.0	33.0	Bachelor	Marketing	Pune	Female	57.454564	14	2006	25	24	15	3	3.567885	Very Often

	age	salary	experience_years	education_level	department	city	gender	score	last_promotion_years	joining_year	projects_completed	overtime_hours	leaves_taken	performance_rating	work_life_balance	travel_frequency
6040	20	118262.0	9.0	High School	HR	NaN	Female	17.903324	4	2020	8	25	13	5	4.155077	Often
6041	54	38782.0	22.0	PhD	Finance	Hyderabad	Other	72.993327	12	2004	45	11	34	4	1.415999	Often
6042	68	98257.0	33.0	Master	IT	Hyderabad	Female	88.365334	0	2003	11	23	2	5	2.761524	Very Often
6043	24	NaN	32.0	Master	Marketing	Bangalore	Female	7.878621	13	2021	9	19	28	2	4.997895	Often
6044	38	97963.0	NaN	PhD	Sales	Mumbai	Other	78.503786	3	2014	45	6	15	2	1.485468	Rarely
6045	26	132086.0	38.0	Master	Finance	Mumbai	Male	89.572229	4	2023	43	2	9	3	4.260105	Very Often
6046	56	141987.0	9.0	Bachelor	IT	Delhi	Other	97.397022	3	2009	43	8	3	1	4.196832	Very Often
6047	35	40566.0	19.0	Master	IT	Mumbai	Female	57.938625	9	2004	1	14	3	4	2.780164	Rarely
6048	21	144591.0	NaN	Bachelor	Finance	Delhi	Male	32.739189	9	2013	18	14	1	1	4.953061	Rarely
6049	42	87766.0	12.0	High School	Sales	Delhi	Male	32.197360	6	2023	12	7	10	2	2.231873	Very Often

Most frequently occurring

	age	salary	experience_years	education_level	department	city	gender	score	last_promotion_years	joining_year	projects_completed	overtime_hours	leaves_taken	performance_rating	work_life_balance	travel_frequency	# duplicates
0	19	28002.0	11.0	Bachelor	Finance	Bangalore	Female	91.369782	10	2022	43	5	35	1	1.683949	Often	2
1	19	95033.0	20.0	High School	HR	Mumbai	Other	29.695357	0	2005	48	5	1	1	1.448118	Often	2
2	20	96777.0	25.0	High School	IT	NaN	Other	56.913837	13	2021	1	9	16	2	2.694355	Rarely	2
3	20	118262.0	9.0	High School	HR	NaN	Female	17.903324	4	2020	8	25	13	5	4.155077	Often	2
4	21	144591.0	NaN	Bachelor	Finance	Delhi	Male	32.739189	9	2013	18	14	1	1	4.953061	Rarely	2
5	24	NaN	32.0	Master	Marketing	Bangalore	Female	7.878621	13	2021	9	19	28	2	4.997895	Often	2
6	25	127894.0	32.0	Master	Sales	Mumbai	Male	68.873965	4	2008	16	1	4	3	2.504044	Often	2
7	26	132086.0	38.0	Master	Finance	Mumbai	Male	89.572229	4	2023	43	2	9	3	4.260105	Very Often	2
8	28	25698.0	13.0	High School	Sales	Mumbai	Female	99.233948	14	2004	6	6	28	3	4.229508	Often	2
9	28	117057.0	28.0	Master	Sales	Pune	Female	1.998776	3	2022	41	20	23	2	1.092991	Rarely	2

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)